Transforming Store Operations Through Intelligent SOP Navigation

CASE STUDY

 

Company Overview

U.S.-based retail chain known for its pop culture and music-inspired apparel, accessories, and collectibles.

Company Type Company Size Company Capitalization

Global Retailer

7,000+ Employees

 $750 M+

Objective

Reimagining retail knowledge management with an AI-first approach that empowers associates at every customer touchpoint.

 

Key Issues

  • Store associates currently had to search through multiple SOPs to find relevant information. Without acting, they risked declining customer satisfaction and employee retention.
  • Store operations sought a unified information interface expert to help build a solution that extracts and combines information from applicable SOPs through a multi-document copilot.
  • Key priorities were leveraging AI for information retrieval, ensuring procedural accuracy, and architecting a user-friendly and scalable cloud solution.

 

Approach

  • We worked with the client to assess their documentation, systems and goals around leveraging AI for store operations improvement.
  • We developed a unified AI copilot interface that instantly extracts and combines information from all relevant SOPs, providing contextual answers to associate queries in natural language.
  • We implemented a comprehensive solution featuring document digitization, intelligent content extraction, and a multi-document retrieval system – all accessible through an intuitive mobile interface.

 

Results

  • 42% Reduction in information search time
  • 28% Increase in faster customer query resolution
  • 15% Increase in productive time per associate workday

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